Abstract
In this paper, handwriting image will be regarded as a texture image,The textural features of it were extracted by Improved multi-channel 2-D Gabor filtering,and was added in the features database as the basis for the identification of handwriting after processed.This is a content independent method,with a broad applicability.the speed and accuracy of identification were increased after optimizing the parameters of Gabor filtering, the author also made a lot of experiments by the platform of vc++6.0, it proved the effectiveness of the algorithm.
Highlights
May, 2008 trough between two adjacent peaks in the projection curve corresponding to the gap between two lines,the distance between the two trough corresponding to the character height of a line
The purpose of Gabor transform is analysing the handwriting image on the multi-scale and in multi directions according to the multi-resolution characteristic of two-dimensional Gabor wavelet.Extrac a number of filter coefficients from many sub-planes as the statistical characteristics.Choose a group of different filter parameter, the output image on different channel can be obtained,which is equivalent to the original image in different expansions on the basis function(Liu.Cheng-Lin,1997,pp.56-63)
After choosing the most superior Gabor filter group,carry on bandpass filter to the handwriting image with them,select the mean and variance of the output image to idenfify the handwriting.By such optimized processing, both the Gabor filter's channel quantity and the comparing time of characteristic are reduced,it enhanced the reliability of the identification. 25 individuals each 10 handwriting samples were collected to carry on the massive experiments in this article, and a group composed of the best 12 multi-channel Gabor filters were decided,The parameters of these filters are shown in table 1
Summary
2008 trough between two adjacent peaks in the projection curve corresponding to the gap between two lines,the distance between the two trough corresponding to the character height of a line. The purpose of Gabor transform is analysing the handwriting image on the multi-scale and in multi directions according to the multi-resolution characteristic of two-dimensional Gabor wavelet.Extrac a number of filter coefficients from many sub-planes as the statistical characteristics.Choose a group of different filter parameter, the output image on different channel can be obtained,which is equivalent to the original image in different expansions on the basis function(Liu.Cheng-Lin,1997,pp.56-63).
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
